About PGCM (DSFM) Programme

Data has emerged as a new functional requirement in modern-age decision making. Organizations treat data as an input to arrive at critical decisions pertaining to their products and services. As per a prediction by MarketsandMarkets, the market for data science is estimated to reach USD 140.9 billion by 2024, up from USD 37.9 billion in 2019.

The Post Graduate Certificate in Management (Data Science in Financial Markets) is a premier programme that offers a well-rounded understanding on modern finance and its various applications, in collaboration with data processing techniques and tools; the participants will develop the expertise to make and alter various financial products (using these data processing techniques and tools) and make them suitable for different classes of investors.

The programme offers a rewarding opportunity to learn and use the available financial data for informed decision-making, keeping in mind the profitability and customer satisfaction. PGCM (DSFM) is a 14-month weekend programme, hosted at NISM, Bandra Kurla Complex, Mumbai, and is approved by the All India Council of Technical Education (AICTE).

For Whom?
The DSFM Certificate Programme is ideal for individuals with a passion for financial markets and keenness to acquire an in-depth understanding of data mining techniques and financial analytics, to offer and innovate new-age financial products. The programme is suitable for both working professionals and fresh graduates.
Graduates from various disciplines, such as Commerce & Accounting, Management, Economics, Law, Mathematics, Statistics, Engineering will develop their analytical capabilities for financial markets.

What do I learn?
PGCM (DSFM) will enable professionals to undertake data mining with powerful tools and identify trends, patterns and correlations for businesses, researchers, non-profit organizations, academic institutions, and governments. The key takeaways from the programme are as follows:

  • he programme will equip professionals with necessary financial knowledge and data mining skills to mould and design better and cost-efficient financial products, creation of efficient risk management system and systematic analysis of available financial information to make informed management decisions.
  • The Data Science in Financial Markets Certification programme will provide a platform to its participants to learn the intricacies of Finance and modern-age Data Science tools and develop the ability to support their decisions through analytic reasoning using a variety of statistical and mathematical techniques.
  • The curriculum covers topics such as Financial Products and Institutions, Programming language for financial applications, Data Mining, Machine Learning, Algorithmic Trading, Big Data Processing and Visualization and combines academic elegance with business relevance to facilitate the participants to learn modalities of various financial products, followed by analytical techniques and weaves them with applications for data-based decision making.
  • Dissemination of knowledge of various financial products to create a level playing field between finance and non-finance professionals.
  • An integral part of the learning experience is the use of Data Science and Analytics tools wherein the candidates get hands-on exposure to R, Tableau, and Python.
  • Program lectures and hands-on workshops will be conducted by eminent faculty, industry leaders and experts.

Where does PGCM (DSFM) lead to?
PGCM (DSFM) could lead to the following job profiles, which involve the fusion of data science techniques and financial analytics:

  • Credit Research and Ratings
  • Investment Evaluation and Portfolio Management
  • Risk Modelling
  • Claim Processing
  • Fraud Detection
  • Financial Statement Analysis
  • Equity Research




Programme Architecture

The Post Graduate Certificate in Management (Data Science in Financial Markets) Programme comprises five trimesters having 16 courses and project/internship carrying a total of 45 credits. The curriculum is designed to provide research-based inputs and industry insights through a team of academicians and market experts. The details of the same are as follows:


Subject Code Trimester I Hours Credits
101 Mathematics 30 3
102 Statistics 30 3
103 Computer Programming 30 3
Subject Code Trimester II Hours Credits
201 Financial Economics 15 1.5
202 Financial Institutions & Products 15 1.5
203 Advanced Computer Programming 30 3
204 Econometric and Time Series Analysis 30 3
Subject Code Trimester III Hours Credits
301 Fixed Income 15 1.5
302 Financial Derivatives 15 1.5
303 Market Microstructure and Algorithmic Trading 30 3
304 Machine Learning and Deep Learning Models 30 3
Subject Code Trimester IV Hours Credits
401 Applications of Data Science in Securities Markets, Insurance Markets and Banking (Credit Risk) 15 1.5
402 Financial Data     and Management 15 1.5
403 Security Analysis and Portfolio Management 30 3
404 Big Data Processing and Visualization 30 3
Subject Code Trimester V Hours Credits
501 Financial Analytics 30 3
502 Project/Internship 6
Total Programme Credits 45


The performance of participants is assessed on a continuous evaluation process in each trimester. Evaluation is through quizzes, surprise tests, mid-term tests, end-term examinations, class participation, presentations, submissions, projects, etc., as may be indicated by the faculty members in the course outline. At the end of the programme, participants shall be awarded Grades, subject-wise as well as the CGPA. The DSFM Certificate Programme will be awarded to successful candidates at a convocation ceremony.


Programme Schedule

The programme will take place in class-room mode on weekends at NISM, Bandra Kurla Complex, Mumbai. The class timings would be as follows:

Day Timings Teaching Hours Break Time
Saturday 6 pm to 9:15 pm 3 hours 15 Minutes
Sunday 10 am to 5 pm 6 hours
  1. Hour

Note: The classes will initially be in online format (webinar-mode), till the COVID-19 pandemic situation improves. Hostel facility is available at NISM Campus in Patalganga, for the benefit of participants from outside Mumbai.

Note: The Management reserves the right to change, amend programme structure as and when it deems fit.

Programme Fees 

The consolidated fees for PGCM (Data Science in Financial Markets) are Rs.2,02,000/- (Rupees Two lakh and Two Thousand only).

The break-up of the fees is as follows:

Particulars First Instalment (in Rs.) Second Instalment (in Rs.) Third Instalment (in Rs.) Total(in Rs.)
Tuition fee 50,000 65,000 65,000 1,80,000
Exam fee 5,000 5,000 10,000
Library Deposit* 10,000 10,000
Alumni fund 2,000 2,000
Total 50,000 82,000 70,000 2,02,000
Due Date Within 7 calendar days from the issue of Offer Letter 15th September 2020 30th November 2020

* Refundable

Once the classes start in physical mode, hostel facility will be made available for the benefit of participants from outside Mumbai, at NISM’s campus in Patalganga, at Rs. 13,350/- (Rupees Thirteen Thousand and Three Hundred and Fifty only) per month.

The break-up of the hostel fees is as follows:

Accommodation Charges: Rs. 6,000

Food Charges: Rs. 7,000

GST on Food: Rs. 350

Total: Rs. 13,350/-

Note: Hostel accommodation can also be made available on single occupancy as well as with air-conditioning facility on a chargeable basis. However, if the numbers of students opting for Air-conditioning (A/C) facilities are less than the desired number, NISM may discontinue the A/C services and refund the proportionate charges.

In addition, participants (availing hostel facility) shall pay a refundable hostel deposit of Rs. 10,000/-

Fee Refund Policy

If an applicant requests to withdraw his/her admission, the Institute will refund the collected fees after deducting Rs. 1000/- towards processing fees and return the applicant’s certificates, if such withdrawal is made before the commencement of the programme, for whatever reasons, as per the procedures prescribed in various government guidelines. The last date for withdrawal of admissions for the purpose of refund of fees is 25th August 2020.

If an applicant chooses to withdraw, the Institute will follow a three-tier system for a refund of fees, as follows:

Sr. No Percentage of Refund of Aggregate Fees Point of time when notice of withdrawal of admission is served to the Institute
1 100% less Rs.1,000/- Before the commencement of the programme.
2 100% less Rs. 10,000/- of full fee including refundable deposits After commencement of the programme and the vacant seat is filled by another applicant from wait-list.
3 0% except for refundable deposits After commencement of the programme and the seat remained vacant.

Note: The Management reserves the right to change, amend programme fees as and when it deems fit.

Admissions 2020

NISM is pleased to invite applications for admissions to Post Graduate Certificate in Management (Data Science in Financial Markets) 2020-21.


Graduates from any discipline with a minimum of 50% marks from a recognized University under 10+2+3 stream are eligible. Provisional admission will be granted to those in the final year of graduation and subject to confirmation of aforesaid criterion.

Selection Criteria

Candidates will be selected based on their profile and their performance in the personal interview (online).

How to apply? 

Candidates willing to apply should first register themselves on slims.nism.ac.in

Step 1: New Registration: Upon successful registration, a User-ID and Password will be sent to the registered email ID and mobile number of the candidate.

Step 2: Application process: Thereafter, candidates are required to log-in and complete the application process by paying the application fee. After making the payment of application fee of Rs. 500/- the candidates may submit their applications.

Frequently Asked Questions


  • Dr. Pradiptarathi Panda

    Assistant Professor (School for Securities Information and Research (SSIR))
  • Mr. Mohd. Meraj Inamdar

    Lecturer (School for Corporate Governance (SCG))

Visiting Faculty

  • Suneel Saraswat

    Adjunct Faculty, NISM
  • Dr. Jinesh Panchali


Download PGCM (DSFM) 2020-21 Prospectus

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